Search Results - (( data detection service algorithm ) OR ( java application using algorithm ))
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1
Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…A GUI is created in a form of JAVA application to display data detected from tag. …”
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2
RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
3
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…It leads to network disturbances, interruption of communication and significant damage to services. Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…It leads to network disturbances, interruption of communication and significant damage to services. Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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5
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…It leads to network disturbances, interruption of communication and significant damage to services. Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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6
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…It leads to network disturbances, interruption of communication and significant damage to services. Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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7
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2023“…It leads to network disturbances, interruption of communication and significant damage to services. Researchers seek to develop intelligent algorithms to detect and prevent DDoS attacks. …”
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Provider independent cryptographic tools
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Monograph -
10
Missing tags detection algorithm for radio frequency identification (RFID) data stream
Published 2019“…Thus in this research, an AC complement algorithm with hashing algorithm and Detect False Negative Read algorithm (DFR) is used to developed the Missing Tags Detection Algorithm (MTDA). …”
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Thesis -
11
Cloud co-residency denial of service threat detection inspired by artificial immune system
Published 2024Subjects:journal::journal article -
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Hybrid Classification Algorithm For Denial Of Service Attack Detection Using Rough Set Theory And Artificial Immune
Published 2024thesis::master thesis -
13
Energy and performance efficient resource allocation for cloud-based data centers
Published 2015“…In this study, we found that our proposed algorithms able to reduce energy consumption by 3% and 19% for host overload detection and VM selection algorithm respectively.…”
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Thesis -
14
Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
15
Location based services of nearest petrol station using asymmetric key algorithm / Muhammad Awwab Mohd Amdan
Published 2014“…The coordinate is incorporated with a random key for data encryption. Users only can detect the location by decrypting the El-Gamal encryption.…”
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Thesis -
16
Facial mask detection in low light environment
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Academic Exercise -
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Using streaming data algorithm for intrusion detection on the vehicular controller area network
Published 2022“…In this paper, the adapted streaming data Isolation Forest (iForestASD) algorithm has been applied to CAN intrusion detection. …”
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Proceeding Paper -
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Real-Time Video Processing Using Native Programming on Android Platform
Published 2012“…However for the Android platform that based on the JAVA language, most of the software algorithm is running on JAVA that consumes more time to be compiled. …”
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Conference or Workshop Item -
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Hybrid weight deep belief network algorithm for anomaly-based intrusion detection system
Published 2022“…However, the current DBN.NIDS model is still ineffective for large-scale real-world data due to some issues: 1) the pre-training of the DBN algorithm includes simple feature learning which does not work very well to extract important features from the attack data, 2) the classification task of the DBN algorithm is a poor detection for imbalanced class dataset and 3) the design of the DBN model could be weak and need to be continuously updated by modern definitions of abnormal to detect recent attacks. …”
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Thesis -
20
Direct approach for mining association rules from structured XML data
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